Dr Xuefang Wang

Research areas of interest include, but are not limited for:

Theoretical research

• High-level decision making for autonomous systems
• Control Systems Analysis and Design
• Hybrid Systems
• Intelligent Control
• Smart Power Grid Allocation
• Multi-agent Systems
• Distributed Optimisation Algorithms Design
• Model Predictive Control and Robust Control
• Markov decision process

Applications

• Control engineering applications on Autonomous Driving
• Control engineering applications on Aerial Robotics

Published Book:

[B1] Xi-Ming Sun, Kun-Zhi Liu, Xue-Fang Wang, Andrew. R. Teel. Control and optimization based on network communication, Springer Nature, 2023.

Selected Journal Papers:

[J1] Xue-Fang Wang, Andrew R. Teel, Xi-Ming Sun, Kun-Zhi Liu, Guangru Shao. A distributed robust two-time-scale switched algorithm for constrained aggregative games, IEEE Transactions on Automatic Control, Full paper, 68(11):6525-6540, 2023.

[J2] Xue-Fang Wang, Xi-Ming Sun, Maojiao Ye, Kun-Zhi Liu. Robust Distributed Nash Equilibrium Seeking for Games Under Attacks and Communication Delays, IEEE Transactions on Automatic Control, 67(9):4892-4899, 2022.

[J3] Xue-Fang Wang, Andrew R. Teel, Kun-Zhi Liu, Xi-Ming Sun. Stability analysis of distributed convex optimization under persistent attacks:a hybrid system approach, Automatica, 111:108607, 2020.

[J4] Xue-FangWang, Xi-Ming Sun, Andrew R. Teel, Kun-Zhi Liu. Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks: A hybrid systems approach, Automatica, 122:109255, 2020.

[J5] Xue-Fang Wang, Yiguang Hong, Xi-Ming Sun, Kun-Zhi Liu. Distributed Optimization for Resource Allocation Problems under Large Delays, IEEE Transactions on Industrial Electronics, 66(12): 9448-9457, 2019. 

[J6] Yunda Yan, Xue-Fang Wang, Benjamin Marshall, Cunjia Liu, Jun Yang, Wen-Hua Chen. Surviving disturbances: A Predictive Control Framework With Guaranteed Safety. Automatica, Regular paper, 158:111238, 2023.

For more publications, please refer to my Google Scholar: https://scholar.google.com/citations?user=CWB4aAEAAAAJ&hl=zh-TW

I warmly welcome PhD proposals on topics, but are not limited for:

1. Optimization-based high-level decision making method for autonomous systems, such as autonomous driving, aerial robotics

2. Communications and cooperation/non-cooperation between robots / autonomous systems

3. Distributed optimization algorithms design

4. Robust distributed Nash equilibrium seeking for games

Undergraduate

• EG3125 Rigid Body and Structural Dynamics

• EG3323 Digital Control and Actuators

Memberships:

• IEEE Member
• IEEE Young Professionals

Guest Associate Editor of Frontiers in Nonlinear Control:

 Topic Editor in Learning and Optimisation for Safety-Critical Control in Unknown and Uncertain Environments

Invited Reviewers:

Journals of control engineering in the aspects of general control systems /automation control systems/ (e.g., Automatica/IEEE TAC/TIE/TII/TCyb/TSMC, IJRNC,
IET, and IEEE Access)

• The distinguished PhD thesis award and City Level Outstanding Doctoral Graduate (2020)
• China Scholarship Council (CSC) Award for studying in University of California, Santa Barbara (UCSB) ($45K) (2017 - 2019)
• National Scholarship for Graduate Student, Ministry of Education of the People’s Republic of China (¥20K) (2015)
• Undergraduate competitions, e.g., National college students electronic design competition (2nd prize)
  and Design of Freescale Intelligent Car with CCD Camera (2nd prize) in National Freescale Cup (2010)

High-level decision making for autonomous vehicles

Multiagent systems

Hybrid systems

Distributed optimisation problems 

Model predictive control

Markov decision process